We’ve been using staff augmentation for years and also offer it ourselves. This dual perspective has shown me what works and ...
Abstract: Data augmentation (DA) is widely employed to improve the generalization performance of deep models. However, most existing DA methods employ augmentation operations with fixed or random ...
Abstract: Text-to-speech (TTS) synthetic data augmentation has been widely used in various speech processing tasks, but its effectiveness in speech separation remains understudied. In this paper, we ...
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